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510(k) Data Aggregation
(55 days)
MICROLET**®**NEXT Lancet
The disposable MICROLET®NEXT Lancet is used for capillary blood collection.
The disposable MICROLET®NEXT Lancet is used for capillary blood collection. The device comprises of a stainless needle encapsulated with a plastic and protective cap; the protective cap is twisted off to expose the needle for use. The device is sterilized by radiation. The needle body and protective cap form a sterile barrier to maintain the needle sterile.
The provided text describes a 510(k) premarket notification for a medical device, the MICROLET®NEXT Lancet, which is used for capillary blood collection. It is a Class II device. The document mostly focuses on demonstrating substantial equivalence to a predicate device (STERILANCE DISPOSABLE BLOOD LANCET, K221507) and regulatory compliance.
However, the provided text does not contain the information requested regarding acceptance criteria and a study proving the device meets those criteria for an AI/Software as a Medical Device (SaMD).
The document discusses non-clinical and clinical tests, but these are related to the physical performance of a lancet (biocompatibility, usability, shelf life, and the ability to obtain adequate blood volume for a blood glucose monitor), not the performance of an AI or software algorithm.
Therefore, I cannot extract the following information that would be relevant to an AI/SaMD study:
- A table of acceptance criteria and the reported device performance (for an AI/SaMD): Not present, as this is not an AI/SaMD.
- Sample sizes used for the test set and the data provenance: A clinical study "enrolled 131 lay persons with diabetes" and "120 completed the study." This is a sample size for a human-use study of a physical device, not an AI test set. Data provenance is not specified beyond "a single clinical site."
- Number of experts used to establish the ground truth for the test set and the qualifications of those experts: Not applicable. Ground truth for a lancet isn't established by experts in the same way it is for an AI interpreting medical images. The "ground truth" here is whether the lancet can obtain a sufficient blood sample for a BGMS.
- Adjudication method: Not applicable.
- Multi-Reader Multi-Case (MRMC) comparative effectiveness study: Not applicable. This is for evaluating human performance with and without AI assistance.
- Standalone (i.e., algorithm only without human-in-the-loop performance) study: Not applicable.
- The type of ground truth used (expert consensus, pathology, outcomes data, etc.): Ground truth for the lancet's performance is the ability to obtain "adequate blood volume from fingertip and palm lancing to obtain a numerical result on the BGMS."
- The sample size for the training set: Not applicable, as this is not an AI.
- How the ground truth for the training set was established: Not applicable.
In summary, the provided document is for a physical medical device (a lancet) and not an AI/SaMD. Therefore, the specific details regarding acceptance criteria, test set, ground truth, and study design relevant to an AI/SaMD are not present.
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